The Jamaican Haemophilia Registry: Describing the burden of disease
Bibliographic record
Abstract
INTRODUCTION: Jamaica has an estimated 200 persons with haemophilia (PWH), who face significant constraints in access to specialized haemophilia care, including access to clotting factor concentrates. AIM: The aim of this paper is to establish the current burden of disease in PWH in Jamaica. METHODS: PWH were enrolled through the University Hospital of the West Indies, Jamaica. The impact of haemophilia was assessed using a comprehensive battery of heath outcome measures that included the following: laboratory, clinical information and validated outcome measures of joint structure and function, activity, and health-related quality of life (HRQoL) to provide a health profile of the Jamaican haemophilia population. RESULTS: In all, 45 PWH were registered (mean age: 29, range: 0.17-69 years), including 13 children (<18 years of age) and 32 adults. In this sample, 41 had haemophilia A (30 severe) and 4 had haemophilia B (3 severe); 10 patients with haemophilia A were inhibitor positive. The results indicate that adults with haemophilia in Jamaica have significant joint damage: mean Haemophilia Joint Health Score (HJHS) = 42.1 (SD = 17.3); moderate activity levels - mean Haemophilia Activities List (HAL) score = 64.8 (SD = 17.8); and low HRQoL scores - mean Haemo-QoL-A score = 62.3 (SD = 19.4). Results for children are also reported but should be interpreted with caution due to the small sample size. CONCLUSIONS: There is a very high burden of disease in PWH in Jamaica. The health profiles reported in this paper are an essential first step in advocating for a multidisciplinary Comprehensive Care Program for assessment and care of PWH in Jamaica.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".